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Author: datahacker.rs

#000 How to access and edit pixel values in OpenCV with Python?

Highlight: Welcome to another datahacker.rs post series! We are going to talk about digital image processing using OpenCV in Python. In this series, you will be introduced to the basic concepts of OpenCV and you will be able to start writing your first scripts in Python. Our first post will provide you with an introduction to the OpenCV library and some basic concepts that are necessary for building your computer vision applications. You will learn…
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#006 Linear Algebra – Inner or Dot Product of two Vectors

Highlight: In this post we will review one of the fundamental operators in Linear Algebra. It is known as a Dot product or an Inner product of two vectors. Most of you are already familiar with this operator, and actually it’s quite easy to explain. And yet, we will give some additional insights as well as some basic info how to use it in Python. Tutorial Overview: Dot product :: Definition and properties Linear functions…
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Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset

A team of Computer vision researchers at Leia Inc. have released a large-scale database of 49,368 (~50k) stereoscopic image pairs collected from the popular Lightfield social media app Holopix™. This is the largest dataset of stereoscopic image pairs ever released publicly that contain in-the-wild scenarios captured from mobile phones. For context, the second-largest dataset in this category consists of only 1024 stereoscopic image pairs, almost 50 times less! The dataset is available for download immediately…
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#008 Linear Algebra – Eigenvectors and Eigenvalues

Highlight: In this post we will talk about eigenvalues and eigenvectors. This concept proved to be quite puzzling to comprehend for many machine learning and linear algebra practitioners. However, with a very good and solid introduction that we provided in our previous posts we will be able to explain eigenvalues and eigenvectors and enable very good visual interpretation and intuition of these topics. We give some Python recipes as well. Tutorial Overview: Intuition about eigenvectors…
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#005 Linear Algebra – Inverse matrices, Rank, Column space and Null space

Highlights: Hello and welcome back. In this post we will learn about some very important topics in linear algebra. They involve: Tutorial Overview: Inverse matrices Rank Span Null space 1. Inverse matrices The following concepts we will observe under the light of linear transformations. They will help us to gain intuition how we can solve linear equations and better understand some concepts related to linear transformations in general. Usually, when you first hear about linear…
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